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» Interactive Image Segmentation Using an Adaptive GMMRF Model
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ICIP
2005
IEEE
16 years 1 months ago
A segmentation method using compound Markov random fields based on a general boundary model
Markov random field (MRF) theory has widely been applied to segmentation in noisy images. This paper proposes a new MRF method. First, it couples the original labeling MRF with a ...
Jue Wu, Albert C. S. Chung
DIAL
2006
IEEE
243views Image Analysis» more  DIAL 2006»
15 years 5 months ago
AGORA: the Interactive Document Image Analysis Tool of the BVH Project
In this paper, we describe how meta-data of indexation can be extracted from historical document images using an interactive process with a software called AGORA. The algorithms i...
Jean-Yves Ramel, S. Busson, M. L. Demonet
CVPR
2010
IEEE
15 years 8 months ago
Geodesic Graph Cut for Interactive Image Segmentation
Interactive segmentation is useful for selecting objects of interest in images and continues to be a topic of much study. Methods that grow regions from foreground/background seed...
Brian Price, Bryan Morse, Scott Cohen
MICCAI
2009
Springer
16 years 26 days ago
Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA)
We propose a novel method for functional segmentation of fMRI data that incorporates multiple functional attributes such as activation effects and functional connectivity, under a ...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeow...
MICCAI
2009
Springer
15 years 9 months ago
Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model
Automated segmentation of the esophagus in CT images is of high value to radiologists for oncological examinations of the mediastinum. It can serve as a guideline and prevent confu...
Johannes Feulner, Shaohua Kevin Zhou, Alexander Ca...